| 1. | The stable conditions and design of gain matrices of the observers are given and proved by lyapunov function , lmi and h control theory etc .
利用lyapunov函数、 lmi技术以及h _控制理论等，给出和证明了鲁棒故障检测的稳定条件和观测器增益阵的设计。 |
| 2. | Hence , the kalman filter gain matrix can be computed off - line using matlab . the research uses compensating method to solve kalman filtering divergence problems
针对计算误差引起的滤波发散问题，本文采用性能退化参数补偿法，初步解决了滤波的发散问题。 |
| 3. | The correlations between measurement noises and processing noises are added to the gain matrix of tracking filter , so information that can describe multi - sensors fusion systems is increased
在跟踪滤波器的增益阵中引入测量噪声与过程噪声的相关量和测量噪声之间的相关量，增加了描述多传感器融合系统的信息量。 |
| 4. | Because the linearized engine model is time - invariant , it is well known that the kalman filter gain matrix converges to a unique constant value if the system is both fully observable and controllable
由于发动机线性模型是可控可观测的定常系统，增益k阵趋于唯一常量，可利用matlab直接求解riccati方程，离线解得k值。 |
| 5. | This matrix takes into account all the couplings , un - uniformed amplitude and phase between the channels . this matrix is called the gain matrix or simply g - matrix . however , to measure the g - matrix is not an easy job
这种方法通过测量系统的响应函数( g矩阵)完全描述真实系统的响应，再用数值方法求g矩阵的逆矩阵来反演图像。 |
| 6. | By using lmi toolbox in matlab , it is easily to obtain controllers gain matrices . 2 ) based on lyapunov stability theory , the results on robust control for time - delay systems with markovian jumping parameters are extended to neutral
2 )基于lyapunov稳定性理论,将含有markov跳跃参数的线性不确定时滞系统的鲁棒控制结果推广到含有markov跳跃参数的中立型系统中。 |
| 7. | The delta operator is introduced to the h9 filter problem of discrete system , which is significant for the anti - disturbance of the high - speed sampled system . in the delta domain system , the coefficient of the gain matrix of the estimator is approaching to that of the continuous - time system . which not only guarantees the stability and the performance of the system but also avoids the also avoids the defects the z domain when the sampling periods is approaching to zero
滤波问题中，这对于高速采样系统的抗干扰及状态估计具有很大的理论及实际意义，当采样周期趋近于零时，估计器的反馈增益矩阵及闭环极点趋近于连续系统的反馈增益矩阵及闭环极点，从而可以采用离散的设计方法获得连续系统的性能，既保证了系统的性能及稳定性，又避免了z域内设计的缺点。 |
